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518 articles for “AI reliability”
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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Performance Evaluation of Lithium-Ion Batteries Considering State of Charge and State of Health for Electric Vehicle Applications
Abstract: This study aims to compare temperature-regulated and uncontrolled charging methodologies to determine the most effective approach for optimizing battery performance while minimizing charging duration. The study assesses both constant current (CC) and temperature-controlled pulse charging (TRPC) methods. The battery temperature increases in direct proportion to the applied current during CC charging and cannot be controlled in the absence of external cooling systems. Key performance measures, such as the effect on …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 15, Issue 3, 2025 · pp. 32–47 Read article
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IoT and Machine Learning in Green Smart Home Automation and Green Building Management
Abstract: AbstractInternet of things (IoT) is a developing concept, which aims to associate billions of devices with each other. The IoT devices sense, assemble, and transfer important information from their environments. This exchange of very large amount of information among billions of devices makes an enormous energy need. The radical growth in urbanization over the last few years needs sustainable, proficient, and smart clarifications for transport, governance, environment, quality of life, …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 10, Issue 3, 2019 · pp. 8–36 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
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Chemical Modifications of Polymer for Improved Anti-Microbial Action
Abstract: Infections caused by pathogenic microorganisms are a significant concern. Polymers, large molecules formed by chemically connecting monomers, have acquired significant interest due to their intrinsic properties. Polymers function as a matrix for the components that contain antibacterial agents. Developing polymers with antibacterial activity is a crucial research area that aims to alleviate the problem of microbe contamination. The antibacterial polymers typically exhibit prolonged effectiveness. Modification of polymers enhances their anti-microbial …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1919–1931 Read article
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Microwave Assisted Digestion For Cadmium Analysis in Yoghurt Samples Using Atomic Absorption Spectrophotometer
Abstract: This paper presents an innovative approach for the digestion of dairy products aimed at determining heavy metal concentrations using atomic absorption spectrophotometry. The present study was conducted to assess the concentration of cadmium in different Yoghurt samples. A total of 80 random samples of dairy products (20 each of sour Yoghurt, sweet Yoghurt, flavoured Yoghurt, and homemade Yoghurt) were collected from different areas of Kota city. For the analysis of …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 24–39 Read article
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Evaluating the Role of Platelet Indices, with a Focus on Immature Platelet Fraction (IPF), in Differentiating Hyper-Destructive and Hypo-Productive Thrombocytopenia: A Study from Ludhiana, Punjab, India
Abstract: Background: Thrombocytopenia, characterized by a reduction in platelet count, is commonly observed in clinical settings. Its etiology can be broadly classified into hyper-destructive thrombocytopenia, where platelets are destroyed at an accelerated rate, and hypo-productive thrombocytopenia, where platelet production is impaired. Differentiating between these two causes is essential for effective management. The Immature Platelet Fraction (IPF) has emerged as a promising non-invasive diagnostic tool to distinguish these causes. Objectives: The primary …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Optimization of Process Parameter in 3D Printing to Minimize Wear Loss and increase Tensile Strength
Abstract: Additive Manufacturing (AM) and especially Fused Deposition Modeling (FDM) has emerged as a very versatile process of manufacturing polymer components with complex and highly-integrated geometries. Polylactic Acid (PLA) is a favorite of the many thermoplastic FDM materials because of its biodegradability, easy processing and predictable mechanical properties. The study aimed at maximizing critical parameters in FDM process in order to reduce wear loss and also increase tensile strength of PLA …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 849–858 Read article
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Automated Math Solver Assist with LLM RAG
Abstract: The challenges of solving complex mathematical problems often hinder efficiency in various scientific and engineering domains. This project proposes an innovative solution to these challenges by integrating automated math solvers with large language model (LLM) retrieval-augmented generation (RAG). The proposed system aims to streamline mathematical problem-solving processes, offering a robust and precise tool for real-time recognition, classification, and solution generation. This work provides a novel method of automating the solution …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 25–30 Read article
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Conductive Polymers for Electro-Mechanical Systems: Structure–Property Relationships and Mechanical Behavior Under Stress
Abstract: Conductive polymers represent a unique class of functional materials that combine the electrical characteristics of metals with the mechanical flexibility of polymers. These dual properties are critical for the next generation of electro-mechanical systems, including wearable sensors, soft robotics, structural health monitoring (SHM), and biomedical actuators. However, the mechanical performance of conductive polymers under diverse stress conditions—such as elongation, cyclic loading, bending, and impact—remains a key challenge, limiting their long-term …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 25–30 Read article
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Record Linkage in Knowledge Discovery Process Using Angle Based Machine Learning
Abstract: Record linkage is a critical data cleansing step in the knowledge discovery process, aimed at identifying and resolving inconsistencies across datasets. This study proposes an enhanced record linkage framework tailored for uncertain and large-scale data using a combination of distance measurement, probabilistic modeling, and semantic reasoning. A novel angle-based distance measurement technique is introduced to optimize matching between candidate records. To further boost match accuracy, a Finite Mixture Model (FMM) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1157–1170 Read article
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An Analysis of Multimodal Fusion in Deepfake Detection for Video Samples
Abstract: In today’s rapidly evolving digital landscape, deepfake technology stands as both a marvel and a threat to privacy and security. Deepfakes, hyper-realistic synthetic media created using artificial intelligence (AI), can deceive and manipulate on an unprecedented scale, from political propaganda to compromising videos of public figures. This research navigates deepfake detection, focusing on two advanced methodologies: the vision transformers (ViT) image classifier and the Meso4 method. The ViT model utilizes …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 19–27 Read article
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Advancements in Zeolite Catalysis for Efficient Oil Refining and Sustainable Energy Production
Abstract: Fossil fuels remain the primary reliable and cost-effective energy source for maintaining the desired product quality. This dominance stems from advancements in petrochemistry and oil refining, driven by substantial investments in research and innovation. The exceptional efficiency of oil refining is largely attributed to the use of zeolites as catalysts, a breakthrough regarded as one of the most significant achievements in modern chemistry. Their applications span across several catalytic processes, …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 2, 2025 · pp. 35–42 Read article
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Deep Learning-Enhanced Polymer-Based Wearable Biosensors for Continuous Health Tracking via IoT
Abstract: The rapid proliferation of wearable biosensor technologies has transformed approaches to real-time health monitoring, yet challenges persist in achieving both mechanical robustness and reliable, continuous data analytics in dynamic environments. Conventional polymer-based sensing systems often fall short due to limited signal fidelity, inadequate adaptive analytics, or insufficient integration with secure, low-latency IoT frameworks. Addressing these deficiencies, this work introduces a flexible, deep learning-enhanced wearable biosensor platform that combines a nanostructured …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 18–31 Read article
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Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article
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Application of Thermal Spray Coatings for Corrosion Control in Oil and Gas Refineries
Abstract: In today’s context, Thermal Spray Coating (TSC) has emerged as a highly durable and reliable alternative to traditional Hot-Dip Galvanizing (HDG). It is increasingly being adopted for both new and existing industrial structures due to its long-lasting protection—often exceeding 25 years—while requiring little to no maintenance. Unlike HDG, which cannot be welded on-site and often poses challenges with repair methods such as liquid coating or cold spray, TSC offers greater …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 106–115 Read article
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Advancements in Heat Exchanger Design for Improved HVAC System Efficiency
Abstract: Due to their direct impact on usage of energy, operational effectiveness, and environmental sustainability, heat exchangers have become vital components of the air conditioning, ventilation, and heating (HVAC) systems. The growing demand for energy-efficient HVAC solutions has driven extensive research and development efforts aimed at improving heat exchanger performance. Traditional designs, such as shell-and-tube and fin-and-tube heat exchangers, have long been utilized in HVAC applications. Nevertheless, these traditional types frequently …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 1, 2025 · pp. 44–52 Read article
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Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article
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Youthful Students’ Perception of The Nursing Profession: A Preliminary Single-group Research
Abstract: Aim: This study had four objectives: (1) examine how adolescents perceive nursing before and after organized teaching programs; (2) examine how adolescents perceive nursing after structured teaching programs; (3) compare pre-test and post-test results to assess the efficacy of a structured teaching program; (4) relate the mean improvement in nursing image to particular demographic factors. Background: This study assists in identifying potential areas for improvement or any potential interventions to …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 2, 2023 Read article